Microsoft and Hugging Face Release ThinkingBox Agent RL Training Method
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On October 23, 2026, Hugging Face's official blog (primary source) reported that Microsoft and Hugging Face have released an agent reinforcement learning training method called ThinkingBox-Training. The core approach of the method is: using the executable database final-state checks from ThinkingBox-Bench as RL (reinforcement learning) reward signals for tasks beyond the benchmark, thereby conducting reward post-training for agents. The related code for the method has been open-sourced on GitHub. As of now, this is the first report on this event; there is no follow-up progress or supplementary information from other sources, and no factual contradictions among reports have been found.
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- Hugging Face BlogTurning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
Microsoft and Hugging Face released ThinkingBox-Training, which uses executable database final-state checks from ThinkingBox-Bench as RL rewards for out-of-benchmark tasks; the code is open-sourced on GitHub.
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